Riqiang Gao

About

Riqiang Gao is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, Riqiang Gao has authored 34 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Radiology, Nuclear Medicine and Imaging, 15 papers in Pulmonary and Respiratory Medicine and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Riqiang Gao’s work include Radiomics and Machine Learning in Medical Imaging (19 papers), Lung Cancer Diagnosis and Treatment (13 papers) and COVID-19 diagnosis using AI (8 papers). Riqiang Gao is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (19 papers), Lung Cancer Diagnosis and Treatment (13 papers) and COVID-19 diagnosis using AI (8 papers). Riqiang Gao collaborates with scholars based in United States, Germany and South Korea. Riqiang Gao's co-authors include Bennett A. Landman, Yuankai Huo, Yucheng Tang, Shunxing Bao, Kim L. Sandler, Sanja Antic, Kaiwen Xu, Ho Hin Lee, Pierre P. Massion and Thomas A. Lasko and has published in prestigious journals such as Radiology, IEEE Transactions on Medical Imaging and Medical Physics.

In The Last Decade

Co-authorship network of co-authors of Riqiang Gao i

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Fields of papers citing papers by Riqiang Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Riqiang Gao. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Riqiang Gao. The network helps show where Riqiang Gao may publish in the future.

Countries citing papers authored by Riqiang Gao

Since Specialization

Citations

This map shows the geographic impact of Riqiang Gao's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Riqiang Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Riqiang Gao more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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